NTW 2023


NOVAMATH Thematic Weeks 2023

Mathematical Models in Health

5 - 13 July

The Center for Mathematics and Applications (NOVA Math) invites you to the NOVA Math Thematic Weeks 2023, with an emphasis on Mathematical models for Health, jointly organized by the NOVA Math’s Thematics Lines, Biomathematics, Mathematics for Health, and Data Science.

The event is intended for students, researchers, and professionals interested in extending their knowledge on the mathematical methods, computational tools, and technologies covered. Participants at the interface between mathematics, computer, and health and medical sciences will have the opportunity to attend seminars on the underlying theory and concepts, practical hands-on sessions using the R language, and participate in informal discussions.

Seminars

Seminar 1, 6 July, 15:00, Seminar Room, 2nd Floor, Building VII

Alexandra PosekanyResearch Unit of Computational Statistics, Vienna University of Technology

Bayesian and robust insights in data analysis and classification of health data

Seminar 2, 13 July, 15:00, Room 1.16, 1st Floor, Building VII

Sonia Torazona, Applied Statistics and Operations Research and Quality, Universitat Politècnica de València

Approaching disease through omics data: challenges and opportunities

Seminar 3, 13 July, 16:00, Room 1.16, 1st Floor, Building VII

Antonio Gómez CorralComplutense University of Madrid

On the exact measure of the disease spread in SIS epidemic models with horizontal and vertical transmission

 

 Workshops

Workshop 1, 5, 6 July, 10:00 – 12:00, Seminar Room, 2nd Floor, Building VII

Alexandra Posekany, Research Unit of Computational Statistics, Vienna University of Technology

Bayesian inference in medical statistics and epidemiology: a brief introduction

 

Workshop 2, 11, 12 July, 10:00 – 12:00, Room 1.16, 1st Floor, Building VII

Antonio Gómez CorralComplutense University of Madrid

Markov Chains in Epidemiology

 

Workshop 3, 11, 12 July, 14:00 – 16:00, Room 1.16 1st Floor, Building VII

Sonia Torazona, Applied Statistics and Operations Research and Quality, Universitat Politècnica de València

Bioinformatic tools for multi-omics analysis